Metacognition Modules: A Scaffolded Series of Online Assignments Designed to Improve Students’ Study Skills
Clicks: 298
ID: 70869
2017
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
69.3
/100
293 views
236 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Many first-year biology students begin college with high aspirations but limited skills in terms of those needed for their success. Teachers are increasingly focused on students’ lack of metacognitive awareness combined with students’ inability to self-regulate learning behaviors. To address this need, we have designed a series of out-of-class assignments to provide explicit instruction on memory and learning. Our metacognition modules consist of six video assignments with reflective journaling prompts, allowing students to explore the relationship between the learning cycle, neuroplasticity, memory function, expert and novice thinking, and effective study strategies. By setting lessons on improving study behavior within a biological context, we help students grasp the reason for changing their behavior based on an understanding of biological functions and their application to learning. Students who complete these scaffolded journaling assignments show a shift toward a growth mindset and a consistent ability to evaluate the efficacy of their own study behaviors. In this article, we discuss the modules and student assignments, as well as provide in depth support for faculty who wish to adopt the modules for their own courses.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (180 words).
Try re-searching for a better abstract.
| Reference Key |
cardinale2017metacognitionjournal
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Cardinale, Jean A.;Johnson, Bethany C.; |
| Journal | journal of microbiology & biology education |
| Year | 2017 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.